About the role
<p>Datashift is a fast-growing consultancy team with a focus on delivering solutions that answer business questions with data and facts. For one of our fastest growing practices, we are looking for a skilled <strong>Azure BI & Data Engineer</strong>.</p><p>Do you have at least<strong> 4 to 6 years of experience?</strong> Do you love to work on projects and look at them from an end-to-end data perspective. Then we are delighted to receive your personal application and we’ll contact you for an interview and a (virtual) cup of coffee.</p><strong>Your responsibilities</strong><ul><li>Leverage your Azure expertise to credibly translate customer needs into components and best practices within the Azure Data Platform.</li><li>Serve as the primary internal and external contact for specialized Azure expertise, with the opportunity to progress toward an Architect role.</li><li>Design and build data solutions within the Azure framework, making the trade-off between cost and maintainability.</li><li>You thrive on collaborating with colleagues and leverage your expertise to maximize your impact within our organization.</li><li><p>Stay up to date with technical developments, particularly those related to Azure, and quickly identify new features that can add value to data solutions.</p><p> </p></li></ul>
<strong>Your qualifications</strong><ul><li>You have 4+ years of hands-on experience in the Microsoft BI ecosystem (Azure Data Factory, Azure Synapse Analytics, Databricks, Microsoft Fabric, Analysis Services en SQL Server Integration Services), preferably within an Azure cloud environment.</li><li>Demonstrated experience in building and optimizing ETL/ELT data pipelines and integrating data from diverse sources (also api’s).</li><li>Deep understanding of modern data architecture concepts, including Data Warehouses, the Kimball methodology, and Data Lakehouses, with hands-on experience and best practices in these areas.</li><li><p>SQL is your Swiss army knife for data transformation, and you’re also well-versed in Python to tackle any data challenge that comes your way.</p><p> </p></li></ul>